Databricks Lakewatch vs Exabeam New-Scale SIEM: Side-by-Side Comparison (2026)

Databricks Lakewatch: Open agentic SIEM on Databricks lakehouse for petabyte-scale SOC ops. built by Databricks. Core capabilities include Agentic AI-driven threat detection and response, Petabyte-scale security data ingestion and storage, Unified security data lakehouse architecture..

Exabeam New-Scale SIEM: Cloud-native SIEM for log management, threat detection, investigation, and response. built by Exabeam. Core capabilities include Natural language search across terabytes of data, Over 7,000 prebuilt log parsers with 2M+ EPS processing, Common Information Model for data normalization..

Both serve the Security Information and Event Management market but differ in approach, feature depth, and target audience.

Databricks Lakewatch differentiates with Agentic AI-driven threat detection and response, Petabyte-scale security data ingestion and storage, Unified security data lakehouse architecture. Exabeam New-Scale SIEM differentiates with Natural language search across terabytes of data, Over 7,000 prebuilt log parsers with 2M+ EPS processing, Common Information Model for data normalization.

Databricks Lakewatch is developed by Databricks. Exabeam New-Scale SIEM is developed by Exabeam. Vendor maturity, funding stage, and team size can be important factors when evaluating long-term viability and support quality.

Databricks Lakewatch integrates with Databricks Unity Catalog, Databricks Delta Lake, Databricks Delta Sharing, AWS, Azure and 1 more. Exabeam New-Scale SIEM integrates with QRadar, Microsoft Sentinel, Splunk, AWS, Azure and 4 more. Check integration compatibility with your existing security stack before deciding.

Databricks Lakewatch and Exabeam New-Scale SIEM serve similar Security Information and Event Management use cases: both are Security Information and Event Management tools, both cover Cloud Native, Log Management. Review the feature comparison above to determine which fits your requirements.